FIFA Sentiment Analysis using Tableau and Spotfire

Analytics tools can be powerful in just about any aspect of our lives. Read below about the use of Spotfire and Tableau by our summer interns (Sidhant Uthra & Ross Wilhite) in visualizing the sentiment of people engaging on Twitter during a World Cup game.

Get the R code and the Step by Step Tutorial for Spotfire and Tableau here:

Tableau can visualize the data in a plethora of ways. A great example is the Tree Map as represented below. It can allow for the user to determine the most popular tweets and their sentiment. Moreover, it allows for the user to view the attributes of individual tweets as opposed to viewing a conglomeration of tweets in the form of a graphical representation of a country on a map. This visualization is created by combining the sentiment score, the retweet count, and the actual tweet text. Such a visualization could be useful to a company in order to determine why a certain negative tweet is popular and then diagnose and solve the more commonly occurring problem.

This is a snapshot of Sentiment Analysis of Twitter data from the Brazil v. Netherlands game running on Tableau.

The green boxes are positive tweets, the red boxes negative, and the brown boxes neutral